A liquid transport method is disclosed for efficiently producing cell cultures. The liquid transport method of the present disclosure, which is in processing of cells, includes: a) a step in which a container holding a liquid is gripped by a gripping tool of a robot; and b) a step in which the liquid in the container is transported to a collection container by rotating the gripped container. In steps a) and b) the robot operates such as not to pass over a vertical line of an opening of the collection container.

A liquid transport method is disclosed for efficiently producing cell cultures. The liquid transport method of the present disclosure, which is in processing of cells, includes: a) a step in which a container holding a liquid is gripped by a gripping tool of a robot; and b) a step in which the liquid in the container is transported to a collection container by rotating the gripped container. In steps a) and b) the robot operates such as not to pass over a vertical line of an opening of the collection container.

A robot device (10) acquires object information related to an object to be gripped by the robot device including a grip unit (32) that grips an object. The robot device (10) then determines, based on operation contents executed by the robot device with the object gripped and the object information, a constraint condition when the operation contents are executed.

A system for controlling a robot arm, a fluid contained in a container is poured into another container. A learning model is generated by a machine learning with teaching data. Practically, a plurality of sets of learning data are acquired, each set including i) time-series information showing a posture of a robot arm which holds a first container holding therein a target fluid and pouring the target fluid from the first container to a second container and ii) a weight of the second container which changes time serially. This learning model is used such that only two types of information consisting of the information showing the posture of the robot arm and the weight of the second container at a first time are inputted to the learning model and information showing the posture of the robot arm at a second time is outputted from the learning model.

A motion generation device may be for generating a movement for changing the robot from a first orientation to a second orientation, and include a first acquisition unit that acquires first orientation information that specifies the first orientation and second orientation information that specifies the second orientation, a second acquisition unit that acquires at least one priority item regarding the movement for changing from the first orientation to the second orientation, and a movement generation unit that generates a motion of the robot that includes a movement path along which the robot moves from the first orientation to the second orientation, based on the first orientation information, the second orientation information, and the priority item that were acquired.

Provided are a simulation device, a simulation method, and a computer-readable storage medium, which reduce a computation load required for simulation of movement of an operation subject. This simulation device is provided with: a first setting unit that sets framing conditions for a model representing the operation subject; a second setting unit that sets conditions for external force applied to the operation subject; a first simulation unit that simulates the movement of the operation subject under the framing conditions and the conditions for external force; a generation unit that generates learning data; and a learning unit that, by supervised learning using the learning data, generates a learning model that takes the framing conditions, the conditions for external force, and the initial conditions of the plurality of representative points as input and outputs data representing the movement of the plurality of representative points.

A rack includes a container holder that is fixed to a stage and holds a container that contains a liquid to be dispensed and a camera that is fixed to the stage and located in a position where the camera is capable of capturing an image of the container.

A liquid transport method is disclosed for efficiently producing cell cultures. The liquid transport method of the present disclosure, which is in processing of cells, includes: a) a step in which a container holding a liquid is gripped by a gripping tool of a robot; and b) a step in which the liquid in the container is transported to a collection container by rotating the gripped container. In steps a) and b) the robot operates such as not to pass over a vertical line of an opening of the collection container.

A liquid transport method is disclosed for efficiently producing cell cultures. The liquid transport method of the present disclosure, which is in processing of cells, includes: a) a step in which a container holding a liquid is gripped by a gripping tool of a robot; and b) a step in which the liquid in the container is transported to a collection container by rotating the gripped container. In steps a) and b) the robot operates such as not to pass over a vertical line of an opening of the collection container.

A motion generation device may be for generating a movement for changing the robot from a first orientation to a second orientation, and include a first acquisition unit that acquires first orientation information that specifies the first orientation and second orientation information that specifies the second orientation, a second acquisition unit that acquires at least one priority item regarding the movement for changing from the first orientation to the second orientation, and a movement generation unit that generates a motion of the robot that includes a movement path along which the robot moves from the first orientation to the second orientation, based on the first orientation information, the second orientation information, and the priority item that were acquired.